Yuchen Zhu
Machine Learning PhD @ Georgia Tech 🍀

140 Skiles
686 Cherry St NW
Atlanta, GA 30332
Hi, I am Yuchen Zhu, a 2nd year Machine Learning PhD at Georgia Tech.
My interests lie in the broad aspects of GenAI, wich applications in vision, language, and sciences (e.g. single cell genomics, protein sciences, quantum physics, etc). My research currently focuses on diffusion generative models (especially for non-Euclidean data) and multimodal foundation models (such as VLMs).
At Georgia Tech, I am fortunate to be advised by Molei Tao and working with a group of incredible researchers. Prior to that, I graduated with MA in Statistics from Yale University and BS in Honors Mathematics with highest honor from NYU Shanghai. During those time, I had the privilege to work with Zhuoran Yang and Mathieu Laurière on reinforcement learning and mean field games.
Contact: yzhu738 [at] gatech [dot] edu
Updates
Talks
[11/2024] GT ML Student Seminar |
[10/2024] SIAM Mathematics of Data Science 2024 Atlanta, talk and poster presentation |
[04/2024] Southeast ACM Student Workshop 2024, student presentation |
Selected Publications
- ICLRDiffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology ImagesIn The Thirteenth International Conference on Learning Representations, 2025
- ICLRTrivialized Momentum Facilitates Diffusion Generative Modeling on Lie GroupsIn The Thirteenth International Conference on Learning Representations, 2025
- arXivFast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order AlgorithmsarXiv preprint arXiv:2502.00234, 2025